Website:
Job details:
SapienPlus AI is building a quantitative research and synthetic intelligence platform combining market data, behavioral modeling, and AI-driven analytics.
We are looking for a Data & Analytics Engineer to maintain data pipelines and prepare analysis-ready datasets for statisticians and researchers.
This role involves working with broker APIs, subscribed data sources, and public datasets, and creating variables for downstream modeling.
Location: Remote (Work from Home)
Compensation: ₹50,000 per month (in-hand)
CTC: Up to ₹9 LPA (based on experience & structure)
Type: Full-time / Flexible hours
Professionals returning to work after a career break are strongly encouraged to apply.
Key Responsibilities
• Ingest data from sources like IBKR, APIs, and public datasets
• Maintain structured historical datasets
• Clean and normalize incoming data
• Create derived variables and indicators
• Perform basic exploratory data analysis
• Generate summary statistics
• Automate periodic data refresh pipelines
• Prepare datasets for statisticians
Required Skills
• Python (Pandas, NumPy)
• API data ingestion
• Data cleaning & preprocessing
• SQL / structured data handling
• Time-series data understanding
• Basic exploratory analysis
Required Qualifications
• Master’s degree in Statistics, Data Science, Engineering, Mathematics, Economics, or related field
• Comfortable working independently in a remote environment
Experience level: 1–5 years (flexible for strong candidates, including return-to-work professionals)
Good to Have
• IBKR / financial market data experience
• Scheduling pipelines (cron / Airflow)
• Basic statistics knowledge
• Data visualization
About SapienPlus AI
SapienPlus builds AI-driven analytics, synthetic populations, and quantitative research platforms combining data engineering, statistics, and behavioral modeling.
Apply with resume and brief description of relevant experience.
Click on Apply to know more.